Category: CASA

I have a new paper published in Computers Environment and Urban Systems- Online interactive thematic mapping: applications and techniques for socio-economic research. The paper reviews workflows for creating online thematic maps, and describes how several leading interactive mapping sites were created. The paper is open access so you can download the pdf for free. The paper…

Image 1. The tweet density from 8am to 4pm on 20th June 2015, Central London

Twitter Mapping is increasingly useful method to link virtual activities and geographical space. Geo-tagged data attached to tweets containing the users’ location where they tweeted and it can visualise the locations of users on the map. Although the number of the geo-taggedtweets is a relatively small portion of all tweets, we can figure out the density, spatial patterns and other invisible relationships between online and offline.

Twitter mapping in 3D can augment 2d visualisation by providing built environment contexts and improved information. There are many examples of Twitter mapping in 3d such as A) #interactive/Andes [3] , B) London’s Twitter Island [4], C) Mapping London in real time, using Tweets [5].A) and B) build up 3d mountains of the geo-tagged tweet on the map.In the case of C), when the geo-tagged tweets are sent in the city, the heights of nearest buildings increase in the 3d model. These examples are creative and show different ways to view the integrated environments.

From a Networking City’s view, if we make a Twitter visualisation more tangible in a 3d urban model, it would help us to have a better understanding how urban environments are interconnected with the invisible media flow.

To make the visualisation, the Twitter data has been collected by using Big Data Toolkitdeveloped by Steven Gray at CASA, UCL. All 53,750 geo-tagged tweets are collected on 20thJune, 2015 across the UK. As we can see from Table 1, the number of tweets was at the lowest point at 5am and reached to the highest point at 10pm with 3495 tweets. Moreover, Video 1 shows the location of the data in the UK and London on that day in real time.

Table 1. The Number of Geo-Coded Tweets in the UK on 20th June, 2015

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Video 1. The location of Geo-Coded Tweets in the UK on 20th June, 2015

When we calculate the density of the data, London, particularly Central London, contains the largest number of the tweets. (Image 2)

Image 2. The density of Geo-Coded Tweets in the UK on 20th June, 2015

In order to focus on the high density data, 6 km x 3.5 km area of Central London is chosen for the 3d model. Buildings, bridges, roads and other natural environments of the part of London have been set in the model based on OS Building Heights data[6]. Some Google 3d warehouse buildings are added to represent important landmark buildings like St.Pauls, London Eye and Tower Bridge as you can see from Image 3, Image 4 and Image 5.

Image 3. The plan view of Central London model

Image 4. The perspective view of Central London model

Image 5. The perspective view of Central London model (view from BT Tower)

The geo-tagged data set is divided into one hour periodsand distributed on the map to identify the tweet density in the area. Through this process, we can see how the density is changing depending on the time period. For example, the tweets are mainly concentrated around Piccadilly Circus and Trafalgar Square between 10am and 11am, but there are two high-density areas between 12pm and 1pm (See Image 6, Image 7, Image 8 and Image 9)

Image 6. The tweet density between 10am and 11am on 20th June 2015

Image 7. The tweet density between 12pm and 1pm on 20th June 2015

Image 8. The tweet density from 12am to 12pm

Image 9. The tweet density from 12pm to Midnight

As we’ve seen above, the 2d mapping is useful to understand the relative density in one period such as which area is high and which area is low between 12pm and 1pm. However, we cannot understand the degree of intensity in the highest peak areas. It is believed that 3d mapping is needed at this stage. We can clearly see the density of the tweet data in each periodand the intensity of the tweet density across the time periods from Image 10 to Image 14.

West End area shows high density throughout the whole day but City area shows the peak only during lunch time. This pattern likely relates to the activities of office workers in City and leisure/tourist in West End.

Image 10. The tweet density in 3d between 10am and 11am on 20th June 2015

Image 11. The tweet density in 3d between 12pm and 1pm on 20th June 2015

Image 1. The tweet density from 8am to 4pm on 20th June 2015, Central London

Twitter Mapping is increasingly useful method to link virtual activities and geographical space. Geo-tagged data attached to tweets containing the users’ location where they tweeted and it can visualise the locations of users on the map. Although the number of the geo-taggedtweets is a relatively small portion of all tweets, we can figure out the density, spatial patterns and other invisible relationships between online and offline.

Twitter mapping in 3D can augment 2d visualisation by providing built environment contexts and improved information. There are many examples of Twitter mapping in 3d such as A) #interactive/Andes [3] , B) London’s Twitter Island [4], C) Mapping London in real time, using Tweets [5].A) and B) build up 3d mountains of the geo-tagged tweet on the map.In the case of C), when the geo-tagged tweets are sent in the city, the heights of nearest buildings increase in the 3d model. These examples are creative and show different ways to view the integrated environments.

From a Networking City’s view, if we make a Twitter visualisation more tangible in a 3d urban model, it would help us to have a better understanding how urban environments are interconnected with the invisible media flow.

To make the visualisation, the Twitter data has been collected by using Big Data Toolkitdeveloped by Steven Gray at CASA, UCL. All 53,750 geo-tagged tweets are collected on 20thJune, 2015 across the UK. As we can see from Table 1, the number of tweets was at the lowest point at 5am and reached to the highest point at 10pm with 3495 tweets. Moreover, Video 1 shows the location of the data in the UK and London on that day in real time.

Table 1. The Number of Geo-Coded Tweets in the UK on 20th June, 2015

﻿﻿﻿﻿﻿﻿﻿

Video 1. The location of Geo-Coded Tweets in the UK on 20th June, 2015

When we calculate the density of the data, London, particularly Central London, contains the largest number of the tweets. (Image 2)

Image 2. The density of Geo-Coded Tweets in the UK on 20th June, 2015

In order to focus on the high density data, 6 km x 3.5 km area of Central London is chosen for the 3d model. Buildings, bridges, roads and other natural environments of the part of London have been set in the model based on OS Building Heights data[6]. Some Google 3d warehouse buildings are added to represent important landmark buildings like St.Pauls, London Eye and Tower Bridge as you can see from Image 3, Image 4 and Image 5.

Image 3. The plan view of Central London model

Image 4. The perspective view of Central London model

Image 5. The perspective view of Central London model (view from BT Tower)

The geo-tagged data set is divided into one hour periodsand distributed on the map to identify the tweet density in the area. Through this process, we can see how the density is changing depending on the time period. For example, the tweets are mainly concentrated around Piccadilly Circus and Trafalgar Square between 10am and 11am, but there are two high-density areas between 12pm and 1pm (See Image 6, Image 7, Image 8 and Image 9)

Image 6. The tweet density between 10am and 11am on 20th June 2015

Image 7. The tweet density between 12pm and 1pm on 20th June 2015

Image 8. The tweet density from 12am to 12pm

Image 9. The tweet density from 12pm to Midnight

As we’ve seen above, the 2d mapping is useful to understand the relative density in one period such as which area is high and which area is low between 12pm and 1pm. However, we cannot understand the degree of intensity in the highest peak areas. It is believed that 3d mapping is needed at this stage. We can clearly see the density of the tweet data in each periodand the intensity of the tweet density across the time periods from Image 10 to Image 14.

West End area shows high density throughout the whole day but City area shows the peak only during lunch time. This pattern likely relates to the activities of office workers in City and leisure/tourist in West End.

Image 10. The tweet density in 3d between 10am and 11am on 20th June 2015

Image 11. The tweet density in 3d between 12pm and 1pm on 20th June 2015

The imminent UK General Election is fascinating for a host of reasons, not least because of the challenge to the long established dominance of the two main parties, Conservatives and Labour. Their share of the vote has been steadily in decline for over 50 years, from a high of 97% in 1951 to 65% in 2010-…

New academic term of UCL officially started on 22nd September 2014. Thousands of new students walk around the campus, and they fill Bloomsbury area with vibrant energy. Dr. Adam Dennett begun his GI Systems and Science class for new post-graduate students of CASA with welcoming slide on 1st October. In this year, CASA opened two new post-graduate courses: MSc SmartCities and Urban Analytics and MRes Smart Cities. Therefore, he has developed a lot of the course materials and structure for the students during last summer days.

On the same day, when CASA held SHOW AND TELL, which is a traditional CASA event to introduce each other, I apparently realised that the new term is just started! Most members of the lab came up and introduced themselves at this inaugural meeting.

Emer Coleman’s seminar was followed on 7thOctober under the title of “Open Data and the City: Looking back and Looking Forward”. She explained open data as a way of engagement and empowerment and how citizen can be benefited and can participate in making better urban environment. Several good cases, such as Hello Bristol, were mentioned.

After the presentation, many questions were emerging from the audience. Transparency, security, effectiveness and so on. However, I was uncomfortable when she criticised, with some sentences from Adam Greenfield’s “Against the smart city”, big corporations that IBM and Cisco have been pushing smart city idea for money rather than people or better society. I could not catch the difference between the big brands, which get profit by providing new city systems and solutions, and her company, which get profit as well by providing efficient transport solution and application. There might be a matter of size.

These adventures would be enough to feel a sense of the new term. However, UCL email was unusually hacked on 9thOctober. All UCL students got 3000 emails (including me) with bello. It was a big issues not only in the campus but also in the UK as The Independentannounced. Steven Gray, a specialist of large datasets at CASA, analysed what has happened with his Big Data Toolkit and posted it on his blog.

New academic term of UCL officially started on 22nd September 2014. Thousands of new students walk around the campus, and they fill Bloomsbury area with vibrant energy. Dr. Adam Dennett begun his GI Systems and Science class for new post-graduate students of CASA with welcoming slide on 1st October. In this year, CASA opened two new post-graduate courses: MSc SmartCities and Urban Analytics and MRes Smart Cities. Therefore, he has developed a lot of the course materials and structure for the students during last summer days.

On the same day, when CASA held SHOW AND TELL, which is a traditional CASA event to introduce each other, I apparently realised that the new term is just started! Most members of the lab came up and introduced themselves at this inaugural meeting.

Emer Coleman’s seminar was followed on 7thOctober under the title of “Open Data and the City: Looking back and Looking Forward”. She explained open data as a way of engagement and empowerment and how citizen can be benefited and can participate in making better urban environment. Several good cases, such as Hello Bristol, were mentioned.

After the presentation, many questions were emerging from the audience. Transparency, security, effectiveness and so on. However, I was uncomfortable when she criticised, with some sentences from Adam Greenfield’s “Against the smart city”, big corporations that IBM and Cisco have been pushing smart city idea for money rather than people or better society. I could not catch the difference between the big brands, which get profit by providing new city systems and solutions, and her company, which get profit as well by providing efficient transport solution and application. There might be a matter of size.

These adventures would be enough to feel a sense of the new term. However, UCL email was unusually hacked on 9thOctober. All UCL students got 3000 emails (including me) with bello. It was a big issues not only in the campus but also in the UK as The Independentannounced. Steven Gray, a specialist of large datasets at CASA, analysed what has happened with his Big Data Toolkit and posted it on his blog.

The Roman Road network 410AC, as a floating layer over contemporary London in 3D.

How did London become what it is today? How did it evolve and why? It is widely known that London is a historical city. One that has been inhabited for over 1500 years. What most people don’t know however, is that the greatest preserved feature of the city, is the road network itself. Unlike other historical cities such as Athens or Rome where there is an obvious patchwork of areas of different periods, London’s scheduled sites and listed buildings are individual structures, in many cases assembled gradually by parts from many different periods. Those who tried to locate different historic structures will know that these features appear as pieces of different puzzles, scattered within the vast fabric of the contemporary city. What has been preserved, and what will we preserve in the future?

The London Evolution Animation for the first time, brings together and shows the historical development of London from Roman times to today, through the evolution of the road network and preserved structures of the built environment. The information is categorized by periods and the new road segments appear gradually over an image of the faded contemporary London. For each period, gradually enlarging yellow points highlight the position and number of statutorily protected buildings and structures. Datasets cover London’s 19,000 Listed Buildings and 156 Scheduled Monuments which are categorized by period (listed date) and integrated into the animation. LEA brings together datasets provided by English Heritage’s National Heritage List for England, MOLAS, University of Cambridge -Dr. Kiril Stanilov and Ordnance Survey. Originally, LEA was meant to be developed fully in 3D, which is an ongoing project.

A series of digital pictures showcase the what if scenarios of developments in London that were never realized, while 3D animations of London’s history of the built environment explain more about the city’s architectural heritage.

The exhibition is found online in Polly’s Hudson Almost Lost onlineand its a great showcase of London’s historic wealth. Further information on the Animation, a historical overview and on the production of the video can also be found in Polly’s Hudson website.

The Roman Road network 410AC, as a floating layer over contemporary London in 3D.

How did London become what it is today? How did it evolve and why? It is widely known that London is a historical city. One that has been inhabited for over 1500 years. What most people don’t know however, is that the greatest preserved feature of the city, is the road network itself. Unlike other historical cities such as Athens or Rome where there is an obvious patchwork of areas of different periods, London’s scheduled sites and listed buildings are individual structures, in many cases assembled gradually by parts from many different periods. Those who tried to locate different historic structures will know that these features appear as pieces of different puzzles, scattered within the vast fabric of the contemporary city. What has been preserved, and what will we preserve in the future?

The London Evolution Animation for the first time, brings together and shows the historical development of London from Roman times to today, through the evolution of the road network and preserved structures of the built environment. The information is categorized by periods and the new road segments appear gradually over an image of the faded contemporary London. For each period, gradually enlarging yellow points highlight the position and number of statutorily protected buildings and structures. Datasets cover London’s 19,000 Listed Buildings and 156 Scheduled Monuments which are categorized by period (listed date) and integrated into the animation. LEA brings together datasets provided by English Heritage’s National Heritage List for England, MOLAS, University of Cambridge -Dr. Kiril Stanilov and Ordnance Survey. Originally, LEA was meant to be developed fully in 3D, which is an ongoing project.

A series of digital pictures showcase the what if scenarios of developments in London that were never realized, while 3D animations of London’s history of the built environment explain more about the city’s architectural heritage.

The exhibition is found online in Polly’s Hudson Almost Lost onlineand its a great showcase of London’s historic wealth. Further information on the Animation, a historical overview and on the production of the video can also be found in Polly’s Hudson website.

This post appeared first on projectcede.org on March 05, 2014 Mood Lights from Panos Mavros on Vimeo. So, we wondered, what would be the effects of controlling the ambient lighting of a room using our own – or others’– mood state? What if my friends, family or coworkers could “see” how I am feeling in […]

2013 has been quite a year for research – the Smart/Future Cities discussion has moved forward with a notable pace, new setups such as the Future Cities Catapult and the Smart London Report from the GLA are starting to drive the uptake. It has been a year of research around…

Studying human behaviours and communication in time and space has been regarded as the important factor of modern urban planning. In this digital era, collecting online data and analysing the data provide an opportunity to understand the intention and the process of the behaviours and the communication which had not been revealed.

Geotag, which is attached on Social Network Service (SNS), is concerned as one of connecting link between the internet and urban. Mainly, there are two types of geotag. One is user-generated geotag that SNS users identify the places on their contents. The other is automatically generated with spatial coordination by the services. It represents the political, social and economic characteristics of the places as well as the physical location of the user or the data produced.

Image2. The mapping geotag data of locals and tourists by Eric Fischer

Image3. Twitter Languages in London, James Cheshire and Ed Manley

Luminous Cities is the project to demonstrate the interactive map of Flickr geotag data supported by CASA at UCL and CSAP at the University of Leeds. It has developed by Gavin Baily and Sarah Bagshaw. The project does not remain the displaying density and distribution of the geotag, but offers in-detail contents of the geotag such as user, tag, time of the day and timeline over 50 cities in the world. With the multiple contents, Luminous Cities could be a platform to check out the geotag data of Flickr based on personal interest, and to view their cities from a different side. When it comes to Networking City, who is interested in protest and demonstration in the city, it would be a helpful tool to examine the relationship between protests or occupy tags of Flickr in London and actual events of them. Also, some interesting results may be emerging when we compare two data sets: Flickr and Twitter.

Studying human behaviours and communication in time and space has been regarded as the important factor of modern urban planning. In this digital era, collecting online data and analysing the data provide an opportunity to understand the intention and the process of the behaviours and the communication which had not been revealed.

Geotag, which is attached on Social Network Service (SNS), is concerned as one of connecting link between the internet and urban. Mainly, there are two types of geotag. One is user-generated geotag that SNS users identify the places on their contents. The other is automatically generated with spatial coordination by the services. It represents the political, social and economic characteristics of the places as well as the physical location of the user or the data produced.

Image2. The mapping geotag data of locals and tourists by Eric Fischer

Image3. Twitter Languages in London, James Cheshire and Ed Manley

Luminous Cities is the project to demonstrate the interactive map of Flickr geotag data supported by CASA at UCL and CSAP at the University of Leeds. It has developed by Gavin Baily and Sarah Bagshaw. The project does not remain the displaying density and distribution of the geotag, but offers in-detail contents of the geotag such as user, tag, time of the day and timeline over 50 cities in the world. With the multiple contents, Luminous Cities could be a platform to check out the geotag data of Flickr based on personal interest, and to view their cities from a different side. When it comes to Networking City, who is interested in protest and demonstration in the city, it would be a helpful tool to examine the relationship between protests or occupy tags of Flickr in London and actual events of them. Also, some interesting results may be emerging when we compare two data sets: Flickr and Twitter.

The second lecture of GIS comprised mainly three parts, the examples of practical research by using GIS, GIS software and the way to gain relevant data for the research.

In the beginning, Dr. Adam Dennett, the lecturer of CASA, informed the aim of the lecture to understand the basic elements of social science research using GIS and the diverse analytical approaches with it. He showed several example maps, which are related to population, crime, deprivation, health care, flooding, and education, and the way how to read economic, social and physical characteristics from the maps and its meaning in the projects. (Image 1)

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Image 1

﻿

And then, he moved to GIS software industry which has been significantly growing. As interest and the utilisation of GIS are increasing, GIS software market is expanding almost 10% every year and now it is used in all industries and public sectors such as business, public safety, military and education. The popular GIS tools: Arc GIS, MAP Info, Quantum GIS, Pythonand R, and specific points of each tool were introduced. Also, small description of GIS cloud and online GIS tools was following. (Image 2)

Image 2

In the last part, he said of various kinds of the data and the way of gathering the data which is the key element to proceed the research. Easily, we can classify the data according to the way of gathering. On the one hand, we can use the open data, which are provided by public sectors and other organisations. On the other hand, we need to collect the data through participation and measuring by ourselves. Some websites of the UK, which contain the open data or shapefiles, and the characteristics of each website were mentioned. As we can see Image 3, some other methods like WebScarping and Volunteered Geographic Information were shown as alternative ways to collect the data by ourselves, when the given data are unclear, and the goal of the research needs the specific data.

Image 3

The lecture was finished with the emphasis on caution when using the open data and the mapping with it. Much of the data are made with inadequate formats like pdf, or do not include any spatial reference, so we need to be careful to collect and use the data. When it came to the mapping with the data, he insisted that it is necessary to make analytical and meaningful maps rather than something fancy or colourful. In addition, it is essential to acknowledge that some errors could be made by way of ‘generalisation’ in the process of research, therefore, setting up the range and the level of the research will enrich the quality of it.

After one hour lecture, students had a training session that mapping population data on the map of London Borough with R. (Image 4)

The second lecture of GIS comprised mainly three parts, the examples of practical research by using GIS, GIS software and the way to gain relevant data for the research.

In the beginning, Dr. Adam Dennett, the lecturer of CASA, informed the aim of the lecture to understand the basic elements of social science research using GIS and the diverse analytical approaches with it. He showed several example maps, which are related to population, crime, deprivation, health care, flooding, and education, and the way how to read economic, social and physical characteristics from the maps and its meaning in the projects. (Image 1)

﻿

Image 1

﻿

And then, he moved to GIS software industry which has been significantly growing. As interest and the utilisation of GIS are increasing, GIS software market is expanding almost 10% every year and now it is used in all industries and public sectors such as business, public safety, military and education. The popular GIS tools: Arc GIS, MAP Info, Quantum GIS, Pythonand R, and specific points of each tool were introduced. Also, small description of GIS cloud and online GIS tools was following. (Image 2)

Image 2

In the last part, he said of various kinds of the data and the way of gathering the data which is the key element to proceed the research. Easily, we can classify the data according to the way of gathering. On the one hand, we can use the open data, which are provided by public sectors and other organisations. On the other hand, we need to collect the data through participation and measuring by ourselves. Some websites of the UK, which contain the open data or shapefiles, and the characteristics of each website were mentioned. As we can see Image 3, some other methods like WebScarping and Volunteered Geographic Information were shown as alternative ways to collect the data by ourselves, when the given data are unclear, and the goal of the research needs the specific data.

Image 3

The lecture was finished with the emphasis on caution when using the open data and the mapping with it. Much of the data are made with inadequate formats like pdf, or do not include any spatial reference, so we need to be careful to collect and use the data. When it came to the mapping with the data, he insisted that it is necessary to make analytical and meaningful maps rather than something fancy or colourful. In addition, it is essential to acknowledge that some errors could be made by way of ‘generalisation’ in the process of research, therefore, setting up the range and the level of the research will enrich the quality of it.

After one hour lecture, students had a training session that mapping population data on the map of London Borough with R. (Image 4)

From this academic term, Networking City is doing a teaching assistant role for ‘GEOGRAPHIC INFORMATION SYSTEMS AND SCIENCE’ course which is set up by CASA for their provocative master programme ‘MResAdvanced Spatial Analysis & Visualisation’ and Bartlett students. In this year, the course is opened to Urban Planning and DPU students of Bartlett, so thirty students registered, while fifteen students who were mostly from the CASA had an opportunity last year.

Dr. Adam Dennett, the lecturer, briefly showed the outline of the course and explained the meaning of studying spatial analysis, definition of Geographic Information System, linkage between GIS and scientific research, the difference between GISystems and GIScience, and short history of GIS.

During one hour his lecture, the most impressive part was what the meaning of information is in Geography and Urban studies, and how it can make an impact on decision making process. When he illustrated the structure of how one spatial data could be developed to information, knowledge and wisdom, and could be the initial point which change our environments, he emphasised not to make a graphic image by GIS programmes but to consider the meaning behind the data.

After the lecture, the students had two-hour practical session. They operated the main programmes of the course: Arc-GIS, QGIS and R on UCL computers, and checked how they can set up the programmes on their own laptops. In order to learn basic knowledge and functions of Arc-GIS, Adam recommended registering My Virtual CampusTraining on ESRI homepage and complete its modules.

From this academic term, Networking City is doing a teaching assistant role for ‘GEOGRAPHIC INFORMATION SYSTEMS AND SCIENCE’ course which is set up by CASA for their provocative master programme ‘MResAdvanced Spatial Analysis & Visualisation’ and Bartlett students. In this year, the course is opened to Urban Planning and DPU students of Bartlett, so thirty students registered, while fifteen students who were mostly from the CASA had an opportunity last year.

Dr. Adam Dennett, the lecturer, briefly showed the outline of the course and explained the meaning of studying spatial analysis, definition of Geographic Information System, linkage between GIS and scientific research, the difference between GISystems and GIScience, and short history of GIS.

During one hour his lecture, the most impressive part was what the meaning of information is in Geography and Urban studies, and how it can make an impact on decision making process. When he illustrated the structure of how one spatial data could be developed to information, knowledge and wisdom, and could be the initial point which change our environments, he emphasised not to make a graphic image by GIS programmes but to consider the meaning behind the data.

After the lecture, the students had two-hour practical session. They operated the main programmes of the course: Arc-GIS, QGIS and R on UCL computers, and checked how they can set up the programmes on their own laptops. In order to learn basic knowledge and functions of Arc-GIS, Adam recommended registering My Virtual CampusTraining on ESRI homepage and complete its modules.

Right, it’s already been a year in the PhD, which is a good thing – it’s all much more clear about where this is going, what are the questions, the methods and all of that — but it is also time to upgrade. (For those not familiar, it means being accepted to continue doctoral research […]

Image1.Talia Kaufmann gave the presentation at CASA Lunchtime Seminar. The image was taken by Networking City.

On 10th July 11, 2013, CASA Lunch Seminar was commenced inThe Rockefeller Building. Talia Kaufmann, who is a visiting student from MIT Master in City Planning, provided her current research ‘Parameterizing land use planning’. After she finished her bachelor degree in Architecture Tel-Aviv University, Israel and worked as an urban planner for the Tel Aviv-Yafo City Planning Department.

Throughout the presentation, she showed brilliant ideas and cool images. Also, some arguable points were emerging in her presentation, and the considerable discussion between audiences and Talia was continued.

For example, one of her main idea is to randomly capture Google Street View images from several targeting cities and ask people to answer their sense of images. And it becomes the score of each city. The audiences questioned about the precondition of the idea. Can we measure the feeling of the city by just watching some images? Would there be the gap between the feeling of Street View images and the true feeling of cities? Is there any delicate setting for cultural backgrounds and individual subjectivity of participants?

This seminar could be a good opportunity for her to listen others’ comments, articulate the ideas and develop many possibilities of her research.

Image1.Talia Kaufmann gave the presentation at CASA Lunchtime Seminar. The image was taken by Networking City.

On 10th July 11, 2013, CASA Lunch Seminar was commenced inThe Rockefeller Building. Talia Kaufmann, who is a visiting student from MIT Master in City Planning, provided her current research ‘Parameterizing land use planning’. After she finished her bachelor degree in Architecture Tel-Aviv University, Israel and worked as an urban planner for the Tel Aviv-Yafo City Planning Department.

Throughout the presentation, she showed brilliant ideas and cool images. Also, some arguable points were emerging in her presentation, and the considerable discussion between audiences and Talia was continued.

For example, one of her main idea is to randomly capture Google Street View images from several targeting cities and ask people to answer their sense of images. And it becomes the score of each city. The audiences questioned about the precondition of the idea. Can we measure the feeling of the city by just watching some images? Would there be the gap between the feeling of Street View images and the true feeling of cities? Is there any delicate setting for cultural backgrounds and individual subjectivity of participants?

This seminar could be a good opportunity for her to listen others’ comments, articulate the ideas and develop many possibilities of her research.

We are pleased to announce two new lecturer posts here at the Centre for Advanced Spatial Analysis: Lecturer in Urban Analytics- Ref:1345485 and Lecturer in Spatial Modelling and Complexity – Ref:1345477 Closing Date 12 Jul 2013 Latest time for the submission of applications 2pm About CASA The Bartlett Centre for Advanced Spatial Analysis (CASA)…

UCLive is an Augmented Reality Map of UCL developed by students on the Masters in Advanced Spatial Analysis and Visualisation at CASA. Featuring live data, the augmented reality android app works by simply pointing your mobile device at any of the UCL maps across campus. Running in Unity and mixing a number of GIS and…

ESRI’s City Engine not only is a great urban generator, but it also provides the ideal approach for turning the 3D virtual city into an urban modelling tool. Procedural modelling visualizes the results of mathematical models on a 3D Environment and simulate the changes real-time, providing all the necessary features for testing the consequences of Urban modelling theories onto the physical form of the urban environment.

I am very excited to have this first paper published in the CASA UCL webpage.

Abstract:

In this paper we describe the development of projects which aim to explore the use of procedural modelling as a complete toolkit for building interactive visualizations of urban modelling theories. We will use three case studies, starting with the original von-Thunen model, a generalization of von-Thunen using multiple centres and finally the standard dynamic retail model by Wilson and Harris. We will discuss the advantages and limitations in using ESRI’s City Engine and the use of interactive techniques, to visualize and explore classical and contemporary urban modelling theories, by introducing spatial interaction and spatial dynamics within the simulation of a 3d city. In this framework, we provide a guide for developing urban models to aid better analysis and understanding of the urban environment through 3d urban visualizations, complexity theories and interactive systems.

ESRI’s City Engine not only is a great urban generator, but it also provides the ideal approach for turning the 3D virtual city into an urban modelling tool. Procedural modelling visualizes the results of mathematical models on a 3D Environment and simulate the changes real-time, providing all the necessary features for testing the consequences of Urban modelling theories onto the physical form of the urban environment.

I am very excited to have this first paper published in the CASA UCL webpage.

Abstract:

In this paper we describe the development of projects which aim to explore the use of procedural modelling as a complete toolkit for building interactive visualizations of urban modelling theories. We will use three case studies, starting with the original von-Thunen model, a generalization of von-Thunen using multiple centres and finally the standard dynamic retail model by Wilson and Harris. We will discuss the advantages and limitations in using ESRI’s City Engine and the use of interactive techniques, to visualize and explore classical and contemporary urban modelling theories, by introducing spatial interaction and spatial dynamics within the simulation of a 3d city. In this framework, we provide a guide for developing urban models to aid better analysis and understanding of the urban environment through 3d urban visualizations, complexity theories and interactive systems.

Built in Unity 3D, this is an early attempt to create a simple model of energy consumption using agents and interactivity in a playful manner. Eve, the avatar from the infinite museum and her sisters, are looking for energy to grow. Once found, they no…

Built in Unity 3D, this is an early attempt to create a simple model of energy consumption using agents and interactivity in a playful manner. Eve, the avatar from the infinite museum and her sisters, are looking for energy to grow. Once found, they no…

The founder and chair of CASA, Prof. Michael Batty has been awarded the prestigious Lauréat Prix International de Géographie Vautrin Lud, the highest award that can be gained in the field of geography. This prize is widely known as the “Nobel prize of geography”. From 1991, only 22 remarkable researchers were awarded this prize such as David Harvey, Yi-Fu Tuan and Sir Peter Hall.

He has been running his own blog, A Science of Cities,which provides valuable theories, papers and presentation files. Also, he launched a special online class to introduce his complexity theory and methods within Santa Fe Complexity Explorer teaching site. This site is systematically organised with good materials and should be helpful to those who want to learn more about complexity theory and application methods.

The founder and chair of CASA, Prof. Michael Batty has been awarded the prestigious Lauréat Prix International de Géographie Vautrin Lud, the highest award that can be gained in the field of geography. This prize is widely known as the “Nobel prize of geography”. From 1991, only 22 remarkable researchers were awarded this prize such as David Harvey, Yi-Fu Tuan and Sir Peter Hall.

He has been running his own blog, A Science of Cities,which provides valuable theories, papers and presentation files. Also, he launched a special online class to introduce his complexity theory and methods within Santa Fe Complexity Explorer teaching site. This site is systematically organised with good materials and should be helpful to those who want to learn more about complexity theory and application methods.

The Washington Post recently released a front-page article claiming that “The federal government wants to create super WiFi networks across the nation…Cities support the idea because the networks would lower costs for schools and businesses or help vacationers easily find tourist spots. Consumer advocates note the benefits to the poor, who often cannot afford high cellphone and Internet bills.”

I will not comment on whether this is a true or false statement, however I am at the CASA office in Tottenham court road and right now i am probably within the range of more than 100 sending and receiving signals. From mobile phones, to wireless networks, to the Geiger counter which measures radiation levels and shows results real-time via CASA’s online webpage “CityDashboard”. Sensors have come to realize a new urban landscape. A new locality which is not however making a realized dialogue with the physical environment… However, there are side-effects.

“This new urban landscape is no longer predicated solely on architecture and urbanism. These disciplines now embrace emerging methodologies that bend the physical with new measures, representations and maps of urban dynamics such as traffic or mobile phone flows. Representations of usage patterns and mapping the life of the city amplify our collective awareness of the urban environment as a living organism. These soft and invisible architectures fashion sentient and reactive environments.”(1)

In that sense, Urban transformations may not result merely from “changing economic and social drivers within and around densely populated areas” (2), but from a more abstract distortion of time and space. Utopian Architects and planners predicted from a very early age that future cities would not only be defined by buildings and streets, but also by different flows of information. It is now widely accepted that citizens would have to live in a constant flux and there is a need for identifying the possible effects of these new systems, as they are potentially new constituencies for the development of planning.

The introduction of open real-time data may aid in the development of new scenarios and a hint that we are leading in this direction is the recent interest in crowdourcing data analysis and visualizations e.g. the Twitter API which is one of the most popular APIs for visualizations. There are now over 50 Twitter visualizations. “These applications mine Tweets to provide services that help users track topics of interest, geolocated Tweets and are even used to predict flu outbreaks”.(2)

We are officially living in hybrid environments where space and flowing data interact with each other. At the same time, the ways in which we perceive this information plays an important role on our understanding about the environment we live in and therefore affects decision making. The realization of such an era is certainly important for the development of new solutions.

Speaking about invisible fields, Stefan Berke and Martin Hunniger thought of sound as Anthony DeVincenzi (invisible forces) thought of fields. This is a project were midi notes drive the creation of an openGL shader, seeking new aspects in the 3d visualization of invisible fields.

The Washington Post recently released a front-page article claiming that “The federal government wants to create super WiFi networks across the nation…Cities support the idea because the networks would lower costs for schools and businesses or help vacationers easily find tourist spots. Consumer advocates note the benefits to the poor, who often cannot afford high cellphone and Internet bills.”

I will not comment on whether this is a true or false statement, however I am at the CASA office in Tottenham court road and right now i am probably within the range of more than 100 sending and receiving signals. From mobile phones, to wireless networks, to the Geiger counter which measures radiation levels and shows results real-time via CASA’s online webpage “CityDashboard”. Sensors have come to realize a new urban landscape. A new locality which is not however making a realized dialogue with the physical environment… However, there are side-effects.

“This new urban landscape is no longer predicated solely on architecture and urbanism. These disciplines now embrace emerging methodologies that bend the physical with new measures, representations and maps of urban dynamics such as traffic or mobile phone flows. Representations of usage patterns and mapping the life of the city amplify our collective awareness of the urban environment as a living organism. These soft and invisible architectures fashion sentient and reactive environments.”(1)

In that sense, Urban transformations may not result merely from “changing economic and social drivers within and around densely populated areas” (2), but from a more abstract distortion of time and space. Utopian Architects and planners predicted from a very early age that future cities would not only be defined by buildings and streets, but also by different flows of information. It is now widely accepted that citizens would have to live in a constant flux and there is a need for identifying the possible effects of these new systems, as they are potentially new constituencies for the development of planning.

The introduction of open real-time data may aid in the development of new scenarios and a hint that we are leading in this direction is the recent interest in crowdourcing data analysis and visualizations e.g. the Twitter API which is one of the most popular APIs for visualizations. There are now over 50 Twitter visualizations. “These applications mine Tweets to provide services that help users track topics of interest, geolocated Tweets and are even used to predict flu outbreaks”.(2)

We are officially living in hybrid environments where space and flowing data interact with each other. At the same time, the ways in which we perceive this information plays an important role on our understanding about the environment we live in and therefore affects decision making. The realization of such an era is certainly important for the development of new solutions.

Speaking about invisible fields, Stefan Berke and Martin Hunniger thought of sound as Anthony DeVincenzi (invisible forces) thought of fields. This is a project were midi notes drive the creation of an openGL shader, seeking new aspects in the 3d visualization of invisible fields.

In the 2011-2012 MRes of Advanced Spatial Analysis and Visualization we worked on some fascinating topics and new year is always a good time to re-cap. The Infinite museum is the result of an interdisciplinary collaboration with Martin Dittus, Ian Morton, Mohammad Masum and myself, for the design of a virtual exhibition space, as a showcase for a constantly updating database of different visualization techniques. The first question that emerged in this case, was why build a spatial structure for the presentation of a-spatial information. In this case the answer is conceptual.

In 1929, Le Corbusier designed the Museum of Unlimited Growth (Musée à croissance illimitée) for the Mundaneum in Geneva. He imagined a square spiral that would develop and grow infinitely in time. In his vision, visitors would follow a path which would let them explore exhibits via a continuous circulation, allowing them to experience what he called a “promenade architectural” (an architectural walk). Despite its utopic nature, the vision behind this concept is the realization of an era of constant change and non-permanence, followed by an optimism of continuous growth.

Later, the idea of “virtuality” provoked an even more interesting swift in planning and design with the emergence of parametric modelling, sensors and new interaction techniques, which allowed new notions, e.g gaming, to become an active player in the design process. This awareness became an inspiration for the development of new solutions, such as the experimental project Arctic Research Facility by Polar Ants for building structures in constantly fluctuating physical surroundings. Or even projects which address to philosophical questions, as in the case of the Lotus Dome by studio Roosegaarde, in whether technology can be sacred.

The museum of Unlimited Growth – Le Corbusier 1929

In continuance to these ideas, the Infinite Museum, is an interactive application that allows players to visually explore exhibits (images, movies, 3D models, animated objects) and the complex network of relations between them. The project, follows the inspiration of unlimited growth museum, with the difference that in this case, it moves away from the traditional 3d exhibition spaces which rely on a pre-built structure with a “continuous” or a tree- type “network” circulation. Instead, the Infinite Museum explores the possibilities of modular construction and dynamically constructs a map of rooms whose topology is a result of both player choices and pre-defined exhibit relationships.

The idea is to create a typical spatial structure of an exhibition space which will be augmented with the ideas of Web3 such as the use of a cloud network for categorizing the exhibits and guiding the viewer. 3D “types of rooms” connect to each other, in order to create a sequence of spaces that will guide the viewer through the exhibition, while providing him the choices of the cloud network. The user becomes the curator, who structures the exhibition, not by designing it, but by choosing types or “tags” of exhibits and therefore, he is more likely to run into the exhibits that are more related to his group of preferences.

This is a UNITY 3D application, which includes assets built in a range of 3D modeling software packages. Unity, as a game engine, provides excellent tools for interactive 3d space as well as the possibility for developing interesting multi-player game-play.

The infinite museum is a showcase for a range of visualization techniques such as images, videos, 3d objects and 3d animations.

The application explores the possibilities of modular construction

The application doesn’t rely on a pre-built structure, instead it dynamically creates a map of rooms whose topology is a result of player options and pre-defined exhibit relationships.

In terms of typology, the rooms of the Infinite Museum are especially designed so as to be “convex”, meaning they all connect seamlessly, and in their combination fully cover a 2D area. The impression in this case, is not a sequence of rooms, but more of a collection of infinite spaces. Very much like a puzzle with different pieces that are all linkable to each other. In that way there are 6*6*4= 144 possible connections and therefore 144 different spaces generated by just 6 cubic rooms.

The 6 rooms of the infinite museum

The generation of different spaces is illustrated above using random formations.

At this point the project is aimed to be a tool for the collection and presentation of different visualization works. Textures and lighting are defaulted and flexible for further development as the game play progresses. Next steps include texture and pattern design, association of spatial items with exhibit tags, real time shadows and interactions, game-play development and the introduction of multi-players.

The exhibition incorporates visualizations that were produced as part of taught courses, while the project itself was made in the context of the visualization course by Andrew Hudson Smith and Martin Austwick, in the MRes ASAV 2011.

This blogpost contains extracts from our group essay.Team Members, visit their blogs at: